Learn R Programming
⚠️There's a newer version (1.3-1) of this package.Take me there.

DoseFinding (version 0.5-6)

Planning and Analyzing Dose Finding experiments

Description

The DoseFinding package provides functions for the design and analysis of dose-finding experiments (for example pharmaceutical Phase II clinical trials). It provides functions for: multiple contrast tests, fitting non-linear dose-response models, calculating optimal designs and an implementation of the MCPMod methodology.

Copy Link

Version

Install

install.packages('DoseFinding')

Monthly Downloads

2,199

Version

0.5-6

License

GPL-3

Maintainer

Bjrn Bornkamp

Last Published

October 20th, 2011

Functions in DoseFinding (0.5-6)

MED.DRMod

Calculate MED for a DRMod object
getPars

Calculate location and scale parameters
planMM

Calculate optimal contrasts and critical value for MCP test
plot.planMM

Plotting a planMM object
gFitDRModel

Generalized fitting of dose-response models to raw dose-response estimates
getUpdDesign

Calculate Bayes estimates and optimal design for next cohort
fit.control

Set control parameters for non-linear model fitting
fitDRModel

Fit a non-linear regression model with linear covariates.
powerMM

Calculate power for different sample sizes
plot.LP

Plot method for LP objects
guesst

Calculate guesstimates based on prior knowledge
rndDesign

Round a continuous design to integer values.
sampSize

Sample size calculations for MCPMod
AIC.DRMod

Calculate AIC, BIC or log-likelihood for a DRMod object
gMCPtest

Generalized multiple contrast tests
MCPMod

Perform MCPMod analysis of a data set
ED.DRMod

Calculate EDp estimator for a DRMod object
modelMeans

Calculate mean vectors for a given candidate set
critVal

Calculate critical value for multiple contrast test
getGrad

Calculate the gradient for the non-linear part of a DRMod object
MCPtest

Perform model-based multiple contrast test
predict.MCPMod

Predict a MCPMod object.
powerScenario

Calculates the power for an planMM object under a particular alternative scenario
IBScovars

Irritable Bowel Syndrome Dose Response data with covariates
plot.powerMM

Plot method for powerMM objects
DR-Models

Built-in dose-response models in DoseFinding
calcBayesEst

Calculates posterior estimates and posterior model probabilities for a set of candidate models.
plot.MCPMod

Plot MCPMod model fits
DRMod and gDRMod methods

Methods for DRMod and gDRMod objects
fullMod

Calculate location and scale parameters for candidate set of models
getInit

Starting values for non-linear parameters.
mvtnorm.control

Control options for pmvt and qmvt functions
biom

Biometrics Dose Response data
migraine

Migraine Dose Response data
calcOptDesign

Function to calculate an optimal design
DoseFinding-internal

DoseFinding package internal functions
genDFdata

Simulate dose-response data
plotModels

Plot candidate models
powCalc

Calculate the power for the multiple contrast test
LP

Sensitivity analysis for misspecification of standardized model parameters in MCPMod
DoseFinding-package

Package overview
getBnds

Calculates default bounds for non-linear parameters
calcCrit

Calculate design criterion for a specified design.
bootMCPMod

Evaluate precision of dose estimate by nonparametric bootstrapping
plot.fullMod

Plot method for fullMod objects